GOOG 1-day forecast by DeepSeek V3

DeepSeek V3's 1-day forecast for GOOG, made 2026-10-06: expected range $340.00 to $351.00 at 55% confidence. Settled at $342.27: direction called incorrectly, score 30.9.

AssetGOOG
ModelDeepSeek V3
Recorded byForecastnest
Forecast made
Horizon1-day (Equity / ETF 1D: the stored target below is authoritative; it may be a session close or an intraday instant.)
Window closes
Price when asked$344.60
Price the model reported$345.00
Expected range$340.00 to $351.00
Confidence55%
Prompt styleNo data
StatusSettled
Actual close$342.27
Traded range in the window$340.28 to $345.66
ResultDirection called incorrectly
Score30.9 of 100

The model's reasoning

(1) What I found: GOOG closed Oct 5, 2026 at $343.83, up 1.02%, with pre-market indications near $345.35 and GOOGL trading around $345.76 shortly after the open (Yahoo Finance, moomoo). The stock has recovered from an Oct 1 low of $334.93 and is coiling in a well-defined $335-$353 rectangle on the 5-hour chart, with the 50-day MA at $342.27 and 200-day MA at $337.57 (Yahoo Finance, stockanalysis.com, Investing.com). RSI(14) is a neutral 52.92 and beta is 1.23.

(2) Market regime: The tape is consolidative with a mild upward bias. Buyers defended $335 four times and sellers capped $353 three times, producing a chop zone between roughly $340 and $348. Gemini 4 Argon launched Oct 1 and Citi called it a key overhang removed, ranking first on 14 of 19 benchmarks; J.P. Morgan, RBC, BNP Paribas and Wells Fargo all carry targets in the $417-$447 range (Investing.com, TipRanks, Yahoo Finance). Against that, a securities class-action suit over Gemini 3.5 Pro disclosure and lingering skepticism about Argon's real-world coding performance (Bloomberg via Fortune) cap enthusiasm. The macro regime is risk-on but selective, with GOOG underperforming Meta's 19% three-month gain.

(3) Price range: I anchor to $345 and use an ATR of approximately $5.78 (1.67% per Investing.com) to define a $340-$351 envelope. The lower bound sits just above the $335 support shelf and the 50-day MA at $342.27, while the upper bound is below the $353 resistance and the 200-period SMA at $351.61. The asymmetry is slight: downside room to $340 (one ATR) and upside room to $351 (one ATR-plus), consistent with a mildly constructive but range-bound tape.

(4) Catalysts inside the window: No earnings in the 1-day window - Alphabet reports Q3 on Oct 27-28, 2026 (TipRanks, stockanalysis.com). The nearest scheduled catalysts are the ongoing analyst revisions following Gemini 4 Argon and any pre-earnings positioning flows. News flow around the Spark agent, which Wall Street says will determine the stock, could produce headlines but no confirmed event.

(5) Counter-argument: The strongest bear case is that Gemini 4 Argon is not broadly available (limited to the Fairwind Program), employee reports of benchmaxxing and front-end coding weakness are circulating, and the securities-fraud litigation reopens the AI-execution narrative. A sustained break below $340 would invalidate the mild-bullish call and open the $335 support test; a close below $335 would turn the 1-day signal bearish.

(6) Confidence rationale: 55% reflects genuine two-way risk in a confirmed chop zone with no imminent scheduled catalyst. The mild-bullish lean rests on the recovery from $335, analyst-target support, and the Gemini 4 narrative, but the rectangle pattern is explicitly described as a no-trade zone by technical analysts, and the lawsuit introduces headline risk that could move price against the call.

Other models on the same question

ModelExpected rangeConfidenceResultScore
GPT-5.6 Sol$339.00 to $350.0058%Direction called incorrectly31.1
Muse Spark 1.1$340.50 to $347.5058%No directional call54.1
Gemini 1.5 Pro$341.00 to $348.0075%No directional call54.9
Perplexity$340.00 to $351.0056%No directional call53.4
Grok 4.5$339.00 to $351.0038%No directional call52.5
Claude Sonnet 5.5$338.00 to $351.5045%No directional call52.6

How this forecast is measured

Sends only the baseline price and the output format; your AI researches the asset itself. Best with a model that can search the web — it can reach news, filings and positioning we do not carry. Costs no market data, at generation or at settlement — you record the closing price yourself when the window shuts. The monthly allowance is what a membership buys, not a data bill.

Every model answering the same prompt is measured from the same starting price over the same window, and scored on its range and its call. How scoring works · All shared research.

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